GitHub - lucasvieirademiranda/image-classification: Classify images from the [CIFAR-10 dataset](https://www.cs.toronto.edu/~kriz/cifar.html). The dataset consists of airplanes, dogs, cats, and other objects. You'll preprocess the images, then train a convolutional neural network on all the samples. The images need to be normalized and the labels need to be one-hot encoded. You'll get to apply what you learned and build a convolutional, max pooling, dropout, and fully connected layers. At the end, you'll get to see your neural network's predictions on the sample images.

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Classify images from the [CIFAR-10 dataset](https://www.cs.toronto.edu/~kriz/cifar.html). The dataset consists of airplanes, dogs, cats, and other objects. You'll preprocess the images, then train a convolutional neural network on all the samples. The images need to be normalized and the labels need to be one-hot encoded. You'll get to apply wha…

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
cifar-10-batches-py		cifar-10-batches-py
dlnd_image_classification.html		dlnd_image_classification.html
dlnd_image_classification.ipynb		dlnd_image_classification.ipynb
helper.py		helper.py
problem_unittests.py		problem_unittests.py